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Going Deeper with Convolutions

Going Deeper with Convolutions

17 September 2014
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
ArXivPDFHTML

Papers citing "Going Deeper with Convolutions"

50 / 5,271 papers shown
Title
MomentsNet: a simple learning-free method for binary image recognition
MomentsNet: a simple learning-free method for binary image recognition
Jiasong Wu
Shijie Qiu
Youyong Kong
Yang Chen
L. Senhadji
H. Shu
21
11
0
22 Feb 2017
Learning Spatial Regularization with Image-level Supervisions for
  Multi-label Image Classification
Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classification
Feng Zhu
Hongsheng Li
Wanli Ouyang
Nenghai Yu
Xiaogang Wang
30
337
0
20 Feb 2017
Cosine Normalization: Using Cosine Similarity Instead of Dot Product in
  Neural Networks
Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks
Chunjie Luo
Jianfeng Zhan
Lei Wang
Qiang Yang
24
199
0
20 Feb 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
340
10,633
0
19 Feb 2017
DR2-Net: Deep Residual Reconstruction Network for Image Compressive
  Sensing
DR2-Net: Deep Residual Reconstruction Network for Image Compressive Sensing
Hantao Yao
Feng Dai
Dongming Zhang
Yike Ma
Shiliang Zhang
Yongdong Zhang
Qi Tian
11
307
0
19 Feb 2017
Learning to Detect Human-Object Interactions
Learning to Detect Human-Object Interactions
Yu-Wei Chao
Yunfan Liu
Michael Xieyang Liu
Huayi Zeng
Jia Deng
28
503
0
17 Feb 2017
Domain Adaptation for Visual Applications: A Comprehensive Survey
Domain Adaptation for Visual Applications: A Comprehensive Survey
G. Csurka
OOD
25
505
0
17 Feb 2017
KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning
  Efficient H-CNN Regressors
KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors
Amit Kumar
A. Alavi
Rama Chellappa
3DV
3DPC
CVBM
23
128
0
16 Feb 2017
Visualizing Deep Neural Network Decisions: Prediction Difference
  Analysis
Visualizing Deep Neural Network Decisions: Prediction Difference Analysis
L. Zintgraf
Taco S. Cohen
T. Adel
Max Welling
FAtt
40
706
0
15 Feb 2017
A Novel Weight-Shared Multi-Stage CNN for Scale Robustness
A Novel Weight-Shared Multi-Stage CNN for Scale Robustness
Ryo Takahashi
Takashi Matsubara
K. Uehara
OOD
30
21
0
12 Feb 2017
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
337
1,049
0
10 Feb 2017
Comparison of machine learning methods for classifying mediastinal lymph
  node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images
Comparison of machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images
Hongkai Wang
Zongwei Zhou
Yingci Li
Zhonghua Chen
Peiou Lu
Wenzhi Wang
Wanyu Liu
Lijuan Yu
8
197
0
07 Feb 2017
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
Emma Strubell
Pat Verga
David Belanger
Andrew McCallum
30
390
0
07 Feb 2017
Deep Learning with Low Precision by Half-wave Gaussian Quantization
Deep Learning with Low Precision by Half-wave Gaussian Quantization
Zhaowei Cai
Xiaodong He
Jian Sun
Nuno Vasconcelos
MQ
41
502
0
03 Feb 2017
Deep Learning the Indus Script
Deep Learning the Indus Script
S. Palaniappan
Ronojoy Adhikari
AI4CE
16
10
0
02 Feb 2017
Visual Saliency Prediction Using a Mixture of Deep Neural Networks
Visual Saliency Prediction Using a Mixture of Deep Neural Networks
Samuel F. Dodge
Lina Karam
FAtt
34
48
0
01 Feb 2017
Deep Network Guided Proof Search
Deep Network Guided Proof Search
Sarah M. Loos
G. Irving
Christian Szegedy
C. Kaliszyk
AIMat
18
157
0
24 Jan 2017
Lipschitz Properties for Deep Convolutional Networks
Lipschitz Properties for Deep Convolutional Networks
R. Balan
Maneesh Kumar Singh
Dongmian Zou
25
48
0
18 Jan 2017
Bringing Impressionism to Life with Neural Style Transfer in Come Swim
Bringing Impressionism to Life with Neural Style Transfer in Come Swim
Xiaokui Shu
Kristyn Stewart
D. Shapiro
19
30
0
18 Jan 2017
Synthesizing Normalized Faces from Facial Identity Features
Synthesizing Normalized Faces from Facial Identity Features
Forrester Cole
David Belanger
Dilip Krishnan
Aaron Sarna
Inbar Mosseri
William T. Freeman
3DH
CVBM
37
141
0
17 Jan 2017
Embedding Watermarks into Deep Neural Networks
Embedding Watermarks into Deep Neural Networks
Yusuke Uchida
Yuki Nagai
S. Sakazawa
Shiníchi Satoh
53
597
0
15 Jan 2017
CNN-based Segmentation of Medical Imaging Data
CNN-based Segmentation of Medical Imaging Data
Baris Kayalibay
Grady Jensen
Patrick van der Smagt
SSeg
33
414
0
11 Jan 2017
Compressive Sensing via Convolutional Factor Analysis
Compressive Sensing via Convolutional Factor Analysis
Xin Yuan
Yunchen Pu
Lawrence Carin
41
3
0
11 Jan 2017
Identifying Best Interventions through Online Importance Sampling
Identifying Best Interventions through Online Importance Sampling
Rajat Sen
Karthikeyan Shanmugam
A. Dimakis
Sanjay Shakkottai
26
72
0
10 Jan 2017
Towards Accurate Multi-person Pose Estimation in the Wild
Towards Accurate Multi-person Pose Estimation in the Wild
George Papandreou
Tyler Lixuan Zhu
Nori Kanazawa
Alexander Toshev
Jonathan Tompson
C. Bregler
Kevin Patrick Murphy
3DH
43
804
0
06 Jan 2017
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
Junting Pan
Cristian Canton Ferrer
Kevin McGuinness
Noel E. O'Connor
Jordi Torres
E. Sayrol
Xavier Giró-i-Nieto
GAN
31
398
0
04 Jan 2017
Feedback Networks
Feedback Networks
Amir Zamir
Te-Lin Wu
Lin Sun
Bokui (William) Shen
Jitendra Malik
Silvio Savarese
18
209
0
30 Dec 2016
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLM
ObjD
56
15,470
0
25 Dec 2016
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans
Yuyin Zhou
Lingxi Xie
Wei Shen
Yan Wang
Elliot K. Fishman
Alan Yuille
MedIm
41
36
0
25 Dec 2016
Validation, comparison, and combination of algorithms for automatic
  detection of pulmonary nodules in computed tomography images: the LUNA16
  challenge
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge
A. Setio
A. Traverso
Thomas de Bel
Moira S. N. Berens
C. V. D. Bogaard
...
Jef Vandemeulebroucke
N. Walasek
G. Zuidhof
Bram van Ginneken
Colin Jacobs
42
1,059
0
23 Dec 2016
Hardware for Machine Learning: Challenges and Opportunities
Hardware for Machine Learning: Challenges and Opportunities
Vivienne Sze
Yu-hsin Chen
Joel S. Einer
Amr Suleiman
Zhengdong Zhang
22
77
0
22 Dec 2016
Top-down Visual Saliency Guided by Captions
Top-down Visual Saliency Guided by Captions
Vasili Ramanishka
Abir Das
Jianming Zhang
Kate Saenko
21
142
0
21 Dec 2016
Collaborative Filtering with User-Item Co-Autoregressive Models
Collaborative Filtering with User-Item Co-Autoregressive Models
Chao Du
Chongxuan Li
Yin Zheng
Jun Zhu
Bo Zhang
HAI
15
33
0
21 Dec 2016
Beyond Skip Connections: Top-Down Modulation for Object Detection
Beyond Skip Connections: Top-Down Modulation for Object Detection
Abhinav Shrivastava
Rahul Sukthankar
Jitendra Malik
Abhinav Gupta
ObjD
35
320
0
20 Dec 2016
Action-Driven Object Detection with Top-Down Visual Attentions
Action-Driven Object Detection with Top-Down Visual Attentions
Donggeun Yoo
Sunggyun Park
K. Paeng
Joon-Young Lee
In So Kweon
ObjD
21
6
0
20 Dec 2016
Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep
  Learning and Geometric Modeling
Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling
Sebastian Ramos
S. Gehrig
Peter Pinggera
Uwe Franke
Carsten Rother
17
174
0
20 Dec 2016
Exploring the Design Space of Deep Convolutional Neural Networks at
  Large Scale
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale
F. Iandola
3DV
26
18
0
20 Dec 2016
Neural Networks Classifier for Data Selection in Statistical Machine
  Translation
Neural Networks Classifier for Data Selection in Statistical Machine Translation
Álvaro Peris
Mara Chinea-Rios
F. Casacuberta
22
16
0
16 Dec 2016
The VQA-Machine: Learning How to Use Existing Vision Algorithms to
  Answer New Questions
The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions
Peng Wang
Qi Wu
Chunhua Shen
Anton Van Den Hengel
OOD
39
86
0
16 Dec 2016
FusionNet: A deep fully residual convolutional neural network for image
  segmentation in connectomics
FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics
Tran Minh Quan
David Grant Colburn Hildebrand
W. Jeong
24
236
0
16 Dec 2016
Stacked Generative Adversarial Networks
Stacked Generative Adversarial Networks
Xun Huang
Yixuan Li
Omid Poursaeed
J. Hopcroft
Serge J. Belongie
GAN
22
458
0
13 Dec 2016
3D fully convolutional networks for subcortical segmentation in MRI: A
  large-scale study
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study
J. Dolz
Christian Desrosiers
Ismail Ben Ayed
3DV
32
364
0
12 Dec 2016
Understanding and Mapping Natural Beauty
Understanding and Mapping Natural Beauty
Scott Workman
Richard Souvenir
Nathan Jacobs
32
42
0
09 Dec 2016
Clipper: A Low-Latency Online Prediction Serving System
Clipper: A Low-Latency Online Prediction Serving System
D. Crankshaw
Xin Wang
Giulio Zhou
Michael Franklin
Joseph E. Gonzalez
Ion Stoica
19
671
0
09 Dec 2016
ActionFlowNet: Learning Motion Representation for Action Recognition
ActionFlowNet: Learning Motion Representation for Action Recognition
Joe Yue-Hei Ng
Jonghyun Choi
J. Neumann
L. Davis
36
117
0
09 Dec 2016
AGA: Attribute Guided Augmentation
AGA: Attribute Guided Augmentation
Mandar Dixit
Roland Kwitt
Marc Niethammer
Nuno Vasconcelos
GAN
28
100
0
08 Dec 2016
Large-Margin Softmax Loss for Convolutional Neural Networks
Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu
Yandong Wen
Zhiding Yu
Meng Yang
CVBM
36
1,451
0
07 Dec 2016
Richer Convolutional Features for Edge Detection
Richer Convolutional Features for Edge Detection
Yun-Hai Liu
Ming-Ming Cheng
Xiaowei Hu
Kai Wang
X. Bai
35
1,020
0
07 Dec 2016
ExtremeWeather: A large-scale climate dataset for semi-supervised
  detection, localization, and understanding of extreme weather events
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events
Evan Racah
Christopher Beckham
Tegan Maharaj
Samira Ebrahimi Kahou
P. Prabhat
C. Pal
19
18
0
07 Dec 2016
MarioQA: Answering Questions by Watching Gameplay Videos
MarioQA: Answering Questions by Watching Gameplay Videos
Jonghwan Mun
Paul Hongsuck Seo
Ilchae Jung
Bohyung Han
50
108
0
06 Dec 2016
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